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Seasonal Ground Cover - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage 

Ver: Data not provided
Status of Data: onGoing
Update Frequency: quarterly
Security Classification: unclassifiedunclassified
Record Last Modified: 2026-06-05
Viewed 404 times
Accessed 154 times
Dataset Created: 2022-01-01
Dataset Published: 2024-09-24
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
Data can be accessed from the following links:
WMSlandscapes:qld_seasonal_ground_cover_sentinel2
HTTPLandscape Data Visualiser - Seasonal Ground Cover - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage
HTTPCloud Optimised GeoTiffs
How to cite this collection:
Department of the Environment, T. (2024). Seasonal Ground Cover - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage. Version . Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/ccda88d8-b1f0-4f16-933e-7a6607b420a6 
The Sentinel-2 seasonal fractional ground cover product shows the proportion of bare ground, green and non-green ground cover and is derived directly from the Sentinel-2 seasonal fractional cover product, also produced by Queensland's Remote Sensing Centre. The seasonal fractional cover product is a spatially explicit raster product, which predicts vegetation cover at medium resolution (10 m per-pixel) for each 3-month calendar season. However, the seasonal fractional cover product does not distinguish tree and mid-level woody foliage and branch cover from green and dry ground cover. As a result, in areas with even minimal tree cover (>15%), estimates of ground cover become uncertain. With the development of the fractional cover time-series, it has become possible to derive an estimate of ‘persistent green’ based on time-series analysis. The persistent green vegetation product provides an estimate of the vertically-projected green-vegetation fraction where vegetation is deemed to persist over time. These areas are nominally woody vegetation. This separation of the 'persistent green' from the fractional cover product, allows for the adjustment of the underlying spectral signature of the fractional cover image and the creation of a resulting 'true' ground cover estimate for each season. The estimates of cover are restricted to areas of <60% woody vegetation. Currently, the persistent green product has only been produced at 30 m pixel resolution based on Landsat imagery, resulting in this Sentinel-2 seasonal ground cover product having a medium 30 m pixel resolution also. This is an experimental product which has not been fully validated. This product is similar to the Seasonal ground cover - Landsat, JRSRP algorithm Version 3.0, Australia Coverage which is based on a different satellite sensor. 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. This dataset was produced by the Joint Remote Sensing Research Program using data sourced from the European Space Agency (ESA) Copernicus Sentinel Program and the US Geological Survey. 
Purpose
This product captures variability in ground cover at seasonal (ie three-monthly) time scales, forming a consistent time series from 2017 - present. It is useful for investigating inter-annual changes in ground cover and analysing regional comparisons. The green and non-green fractions may include a mix of woody and non-woody vegetation. For applications that focus on all vegetation, the fractional cover product may be more suitable. For applications that require a longer timeseries, the Landsat seasonal ground cover product may be more suitable. For applications investigating rapid change during a season, monthly composites or single-date (available on request) fractional cover products may be more appropriate.

This product is based upon the JRSRP Fractional Cover 3.0 algorithm. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
Queensland. 
Temporal Coverage
From null to on going 
Spatial Resolution

Vertical Extent

Data not provided.

ANZSRC - FOR
Ecological applications
ENVIRONMENTAL SCIENCES
datastream
Satellite remote sensing
GCMD Sciences
BIOSPHERE - VEGETATION COVER
LAND SURFACE - LAND USE/LAND COVER
LAND SURFACE - SOILS
Horizontal Resolution
1 meter - < 30 meters
Parameters
bare soil fraction
non-photosynthetic vegetation fraction
photosynthetic vegetation fraction
Platforms
LANDSAT-7
LANDSAT-8
LANDSAT-9
Sentinel-2A
Sentinel-2B
Project
TERN Landscapes
Temporal Resolution
Seasonal
Topic
environment
imageryBaseMapsEarthCover
Author
Department of the Environment, Tourism, Science and Innovation, Queensland Government
Department of the Environment, Tourism, Science and Innovation, Queensland Government
Contact Point
Data Enquiries, Earth Observation and Social Sciences (EOSS)
Publisher
Terrestrial Ecosystem Research Network
Flood N., Danaher T., Gill T. and Gillingham S. (2013). An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia. Remote Sens., 5 (1): 83-109.
Flood N. (2013). Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median). Remote Sens., 5 (12): 6481-6500.
Trevithick R., Scarth P., Tindall D., Denham R. and Flood N. (2014). Cover under trees: RP64G Synthesis Report. Department of Science, Information Technology, Innovation and the Arts. Brisbane.
Muir J., Schmidt M., Tindall D. and Trevithick R. (2011). Field measurement of fractional ground cover: supporting ground cover monitoring for Australia. ABARES. Canberra
By Child records
Seasonal Ground Cover Summary Statistics - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage
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https://creativecommons.org/licenses/by/4.0/
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/ 
Copyright 2010-2022. JRSRP. Rights owned by the Joint Remote Sensing Research Project (JRSRP). 
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
While every care is taken to ensure the accuracy of this information, the Joint Remote Sensing Research Project (JRSRP) makes no representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which might be incurred as a result of the information being inaccurate or incomplete in any way and for any reason. 
Copyright 2010-2022. JRSRP. Rights owned by the Joint Remote Sensing Research Project (JRSRP). 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
It is not recommended that these data sets be used at scales more detailed than 1:100,000. 
While every care is taken to ensure the accuracy of this information, the Joint Remote Sensing Research Project (JRSRP) makes no representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which might be incurred as a result of the information being inaccurate or incomplete in any way and for any reason. 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
It is not recommended that these data sets be used at scales more detailed than 1:100,000.